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Bubble collapse near a solid boundary: a numerical study of the influence of viscosity

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POPINET, STÉPHANE, ZALESKI, STÉPHANE·2002·Journal of Fluid Mechanics

Abstract

The effect of viscosity on jet formation for bubbles collapsing near solid boundaries is studied numerically. A numerical technique is presented which allows the Navier–Stokes equations with free-surface boundary conditions to be solved accurately and efficiently. Good agreement is obtained between experimental data and numerical simulations for the collapse of large bubbles. However, the bubble rebound in our simulation is larger than that observed in laboratory experiments. This leads us to conclude that compressible and thermal effects should be taken into account to obtain a correct model of the rebound. A parametric study of the effect of viscosity on jet impact velocity is undertaken. The jet impact velocity is found to decrease as viscosity increases and above a certain threshold jet impact is impossible. We study how this critical Reynolds number depends on the initial radius and the initial distance from the wall. A simple scaling law is found to link this critical Reynolds number to the other non-dimensional parameters of the problem.

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Metadata

Authors
POPINET, S., & ZALESKI, S.
Venue
Journal of Fluid Mechanics
Published
2002-08-10
Volume
464
Pages
137-163
ISSN
  • 0022-1120 (ISSN-L)
  • 1469-7645
OpenAlex
W2098053542
Cited by
235
References
0
FWCI
6.21
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Bubble collapse near a solid boundary: a numerical study of the influence of viscosity. https://app.cochat.ai/papers/10.1017/s002211200200856x
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POPINET, S., & ZALESKI, S. (2002). Bubble collapse near a solid boundary: a numerical study of the influence of viscosity. Journal of Fluid Mechanics. https://doi.org/10.1017/s002211200200856x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.